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Bitnet M7 Resized by liminerity

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Bitnet M7 Resized is an open-source language model by liminerity. Features: 7b LLM, VRAM: 1.1GB, Context: 2K, LLM Explorer Score: 0.13.

  Conversational   Endpoints compatible   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/liminerity/Bitnet-M7-resized 

Bitnet M7 Resized Benchmarks

LLME Score: 0.12732
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bitnet M7 Resized (liminerity/Bitnet-M7-resized)
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Bitnet M7 Resized Parameters and Internals

LLM NameBitnet M7 Resized
Repository 🤗https://huggingface.co/liminerity/Bitnet-M7-resized 
Model Size7b
Required VRAM1.1 GB
Updated2026-04-28
Maintainerliminerity
Model Typemistral
Model Files  1.1 GB   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than liminerity/Bitnet-M7-resized.

Rank the Bitnet M7 Resized Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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